This Bachelor Thesis presents a Wi-Fi-based solution for collecting city traffic data, using a wireless communication technology as a traffic sensing technology. The traffic data is collected with the help of a transmitter and receiver. The devices could be cost- effective solution. The Wi-Fi signal strength is measured in two test areas in M??nster. The first test area is Heisenbergstrasse, a single-lane road with little traffic. The second test area is an ending two-lane federal highway with a high traffic volume. The evaluation of the Wi-Fi data is based on amplitude-method and width-method. The amplitude- method shows the signal strength change of a passing vehicle. The width-method, on the other hand, shows the time span of the signal strength change of a passing vehicle. Both procedures give an indication of the vehicle type. Accuracy varies according to vehicle type and location. The accuracy, which it is e.g. a car, is with both procedures in the Steinfurter road about 50%. Thus, both methods are initially suitable to a limited extent for vehicle identification and traffic counting.
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